Leonardo Lamas

830 total citations
36 papers, 556 citations indexed

About

Leonardo Lamas is a scholar working on Orthopedics and Sports Medicine, Economics and Econometrics and Developmental and Educational Psychology. According to data from OpenAlex, Leonardo Lamas has authored 36 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Orthopedics and Sports Medicine, 16 papers in Economics and Econometrics and 14 papers in Developmental and Educational Psychology. Recurrent topics in Leonardo Lamas's work include Sports Performance and Training (27 papers), Sports Analytics and Performance (16 papers) and Sport Psychology and Performance (8 papers). Leonardo Lamas is often cited by papers focused on Sports Performance and Training (27 papers), Sports Analytics and Performance (16 papers) and Sport Psychology and Performance (8 papers). Leonardo Lamas collaborates with scholars based in Brazil, United States and Germany. Leonardo Lamas's co-authors include Carlos Ugrinowitsch, Valmor Tricoli, Roberto Carnevale, Gilbert W. Fellingham, Júnior Barrera, Dante De Rose, Marcelo Saldanha Aoki, Anselmo Sigari Moriscot, André Luíz Félix Rodacki and Gléber Pereira and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Applied Physiology.

In The Last Decade

Leonardo Lamas

32 papers receiving 525 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leonardo Lamas Brazil 11 438 173 127 121 48 36 556
Enrico Fuini Puggina Brazil 16 629 1.4× 134 0.8× 229 1.8× 140 1.2× 94 2.0× 55 776
Xavier Reche Spain 11 437 1.0× 95 0.5× 161 1.3× 52 0.4× 80 1.7× 20 492
Thomas B. Andersen Denmark 14 834 1.9× 418 2.4× 171 1.3× 35 0.3× 65 1.4× 31 1.1k
Athanasios Mandroukas Greece 11 279 0.6× 84 0.5× 85 0.7× 31 0.3× 52 1.1× 55 366
Patrycja Lipińska Poland 15 368 0.8× 99 0.6× 97 0.8× 28 0.2× 104 2.2× 46 529
Rafael Aranda Spain 13 322 0.7× 54 0.3× 119 0.9× 182 1.5× 14 0.3× 25 438
Eduardo Abade Portugal 15 555 1.3× 143 0.8× 184 1.4× 61 0.5× 83 1.7× 39 640
Luiz Eduardo Barreto Martins Brazil 10 316 0.7× 85 0.5× 90 0.7× 195 1.6× 59 1.2× 27 459
Christian Baumgart Germany 19 869 2.0× 287 1.7× 167 1.3× 95 0.8× 128 2.7× 56 987
Franco Merni Italy 15 585 1.3× 293 1.7× 113 0.9× 56 0.5× 86 1.8× 47 714

Countries citing papers authored by Leonardo Lamas

Since Specialization
Citations

This map shows the geographic impact of Leonardo Lamas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Leonardo Lamas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Lamas more than expected).

Fields of papers citing papers by Leonardo Lamas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo Lamas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leonardo Lamas. The network helps show where Leonardo Lamas may publish in the future.

Co-authorship network of co-authors of Leonardo Lamas

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Lamas. A scholar is included among the top collaborators of Leonardo Lamas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Leonardo Lamas. Leonardo Lamas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
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Lamas, Leonardo, et al.. (2023). No-gi Brazilian jiu-jitsu: A Markovian analysis of elite-level combat dynamics. International Journal of Sports Science & Coaching. 19(4). 1767–1775.
4.
Fellingham, Gilbert W., et al.. (2022). Integrated evaluation of team strategy, training practices and game performance of a basketball team. International Journal of Sports Science & Coaching. 18(1). 197–206. 8 indexed citations
5.
Lamas, Leonardo, et al.. (2022). Integração entre a análise do desempenho e o ensino-aprendizagem nos esportes coletivos. Revista Brasileira de Ciências do Esporte. 44.
6.
Kitamura, Kátia, Hamilton Roschel, Irineu Loturco, et al.. (2020). Strength and power training improve skill performance in volleyball players. SHILAP Revista de lepidopterología. 26(1). 10 indexed citations
7.
Lamas, Leonardo, et al.. (2020). Two steps for scoring a point: Creating and converting opportunities in invasion team sports. PLoS ONE. 15(10). e0240419–e0240419. 8 indexed citations
8.
Fellingham, Gilbert W., et al.. (2019). Assessing basketball offensive structure: The role of concatenations in space creation dynamics. International Journal of Sports Science & Coaching. 14(2). 179–189. 2 indexed citations
9.
Lamas, Leonardo, et al.. (2018). Analytic method for evaluating players’ decisions in team sports: Applications to the soccer goalkeeper. PLoS ONE. 13(2). e0191431–e0191431. 13 indexed citations
10.
Ugrinowitsch, Carlos, et al.. (2015). Space protection dynamics in basketball: Validation and application to the evaluation of offense-defense patterns. Motriz Revista de Educação Física. 21(1). 34–44. 7 indexed citations
11.
Lamas, Leonardo, et al.. (2015). Modeling the Offensive-Defensive Interaction and Resulting Outcomes in Basketball. PLoS ONE. 10(12). e0144435–e0144435. 40 indexed citations
12.
Okazaki, Victor Hugo Alves, et al.. (2013). Efeito da distância sobre o arremesso no basquetebol desempenhado por crianças. SHILAP Revista de lepidopterología. 9(2). 11 indexed citations
13.
Lamas, Leonardo, Carlos Ugrinowitsch, André Luíz Félix Rodacki, et al.. (2012). Effects of Strength and Power Training on Neuromuscular Adaptations and Jumping Movement Pattern and Performance. The Journal of Strength and Conditioning Research. 26(12). 3335–3344. 38 indexed citations
14.
Lamas, Leonardo, et al.. (2012). Elementos estruturais de um modelo formal dos esportes coletivos de invasão. SHILAP Revista de lepidopterología. 26(4). 741–753. 1 indexed citations
15.
Leal, Marcelo L., Leonardo Lamas, Marcelo Saldanha Aoki, et al.. (2011). Effect of different resistance-training regimens on the WNT-signaling pathway. European Journal of Applied Physiology. 111(10). 2535–2545. 24 indexed citations
16.
Ugrinowitsch, Carlos, Leonardo Lamas, & Valmor Tricoli. (2010). Maximum strength and power training: effects on jumping height and movement pattern. 1 indexed citations
17.
Lamas, Leonardo, Marcelo Saldanha Aoki, Carlos Ugrinowitsch, et al.. (2009). Expression of genes related to muscle plasticity after strength and power training regimens. Scandinavian Journal of Medicine and Science in Sports. 20(2). 216–225. 37 indexed citations
18.
Lamas, Leonardo, et al.. (2008). Efeito de dois métodos de treinamento no desenvolvimento da força máxima e da potência muscular de membros inferiores. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 22(3). 235–245. 4 indexed citations
19.
Lamas, Leonardo, Carlos Ugrinowitsch, Gerson Eduardo Rocha Campos, et al.. (2007). Strength training x power training: performance changes and morphological adaptations. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
20.
Rose, Dante De & Leonardo Lamas. (2006). Game analysis in basketball: offensive profile of the Brazilian Male National team. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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